Triple
T20900131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darwin Watterson |
E514647
|
entity |
| Predicate | hasPetStatus |
P141619
|
FINISHED |
| Object | former family pet |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: former family pet | Statement: [Darwin Watterson, hasPetStatus, former family pet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPetStatus Context triple: [Darwin Watterson, hasPetStatus, former family pet]
-
A.
hasPetForm
Indicates that one entity can transform into or assume the form of another entity that is characterized as a pet.
-
B.
hasPetOwner
Indicates that a person or entity serves as the owner or caretaker of a particular pet.
-
C.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
D.
hasPetInterest
Indicates that one entity has an interest in, affinity for, or concern about pets in relation to another entity or context.
-
E.
hasParkStatus
Indicates that an entity holds a particular designation or status related to being a park (e.g., national park, city park, protected parkland).
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8fa5228819084341dbc813cc1e3 |
completed | April 21, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:47 p.m.